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export results for "Prototypical contrastive learning for image classification."

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@article{DBLP:journals/cluster/YangL24,
  author       = {Han Yang and
                  Jun Li},
  title        = {Prototypical contrastive learning for image classification},
  journal      = {Clust. Comput.},
  volume       = {27},
  number       = {2},
  pages        = {2059--2069},
  year         = {2024},
  url          = {https://doi.org/10.1007/s10586-023-04046-2},
  doi          = {10.1007/S10586-023-04046-2},
  timestamp    = {Wed, 10 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/cluster/YangL24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tgrs/LiuPNC00Z23,
  author       = {Quanyong Liu and
                  Jiangtao Peng and
                  Yujie Ning and
                  Na Chen and
                  Weiwei Sun and
                  Qian Du and
                  Yicong Zhou},
  title        = {Refined Prototypical Contrastive Learning for Few-Shot Hyperspectral
                  Image Classification},
  journal      = {{IEEE} Trans. Geosci. Remote. Sens.},
  volume       = {61},
  pages        = {1--14},
  year         = {2023},
  url          = {https://doi.org/10.1109/TGRS.2023.3257341},
  doi          = {10.1109/TGRS.2023.3257341},
  timestamp    = {Sun, 16 Apr 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tgrs/LiuPNC00Z23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/CaoLFCXZ21,
  author       = {Zeyu Cao and
                  Xiaorun Li and
                  Yueming Feng and
                  Shuhan Chen and
                  Chaoqun Xia and
                  Liaoying Zhao},
  title        = {ContrastNet: Unsupervised feature learning by autoencoder and prototypical
                  contrastive learning for hyperspectral imagery classification},
  journal      = {Neurocomputing},
  volume       = {460},
  pages        = {71--83},
  year         = {2021},
  url          = {https://doi.org/10.1016/j.neucom.2021.07.015},
  doi          = {10.1016/J.NEUCOM.2021.07.015},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/ijon/CaoLFCXZ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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